软件缺陷预测与综合优先级评估数据集

软件缺陷预测与综合优先级评估数据集的内部数据来源于公司开发、测试和运维的全过程，包括通过代码分析工具采集的复杂度数据、测试平台生成的缺陷概率和严重性数据、运维监控系统记录的运行环境数据；外部数据主要来源于公开数据集和授权的性能监控数据，通过清洗和融合处理后，提升数据预测能力和应用价值。

The internal data of the software defect prediction and comprehensive priority assessment dataset is sourced from the end-to-end development, testing, and operations processes of the company. It includes complexity data collected via code analysis tools, defect probability and severity data generated by the testing platform, and operational environment data recorded by the operation and maintenance monitoring system. The external data mainly originates from public datasets and licensed performance monitoring data. After data cleaning and fusion processing, the predictive capability and application value of the dataset are enhanced.